J.-P. Martens

594 total citations
31 papers, 376 citations indexed

About

J.-P. Martens is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, J.-P. Martens has authored 31 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in J.-P. Martens's work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (12 papers) and Music and Audio Processing (10 papers). J.-P. Martens is often cited by papers focused on Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (12 papers) and Music and Audio Processing (10 papers). J.-P. Martens collaborates with scholars based in Belgium, Netherlands and France. J.-P. Martens's co-authors include Tom De Mulder, Saskia Lippens, Mieke Moerman, Philippe H. Dejonckere, Paul Boon, Peter Van Hese, Ignace Lemahieu, Marc Leman, Justin Fackrell and H. De Meyer and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Electronics Letters and IEEE Transactions on Multimedia.

In The Last Decade

J.-P. Martens

28 papers receiving 326 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.-P. Martens Belgium 12 195 168 94 88 58 31 376
Meisam K. Arjmandi United States 12 175 0.9× 176 1.0× 58 0.6× 72 0.8× 156 2.7× 32 431
Cenk Demiroğlu Türkiye 10 274 1.4× 227 1.4× 36 0.4× 53 0.6× 117 2.0× 42 491
Philipp Klumpp Germany 9 129 0.7× 83 0.5× 36 0.4× 48 0.5× 90 1.6× 24 280
S. Pravin Kumar India 10 113 0.6× 141 0.8× 24 0.3× 31 0.4× 35 0.6× 39 382
Ming Tu United States 10 238 1.2× 145 0.9× 44 0.5× 78 0.9× 66 1.1× 35 377
Julien Pinquier France 12 180 0.9× 192 1.1× 112 1.2× 45 0.5× 74 1.3× 61 381
Georg Stemmer Germany 13 291 1.5× 210 1.3× 41 0.4× 80 0.9× 71 1.2× 25 405
Yassine Ben Ayed Tunisia 10 142 0.7× 135 0.8× 56 0.6× 90 1.0× 47 0.8× 33 350
Duc Le United States 15 485 2.5× 291 1.7× 46 0.5× 147 1.7× 57 1.0× 30 672
David Talkin United States 12 311 1.6× 201 1.2× 68 0.7× 263 3.0× 185 3.2× 21 520

Countries citing papers authored by J.-P. Martens

Since Specialization
Citations

This map shows the geographic impact of J.-P. Martens's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J.-P. Martens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-P. Martens more than expected).

Fields of papers citing papers by J.-P. Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-P. Martens. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J.-P. Martens. The network helps show where J.-P. Martens may publish in the future.

Co-authorship network of co-authors of J.-P. Martens

This figure shows the co-authorship network connecting the top 25 collaborators of J.-P. Martens. A scholar is included among the top collaborators of J.-P. Martens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.-P. Martens. J.-P. Martens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Duytschaever, Mattias, Maarten De Smet, J.-P. Martens, et al.. (2025). How a Topological Mindset May Offer Extra Control During Mapping and Ablation of Left-Sided Reentrant Atrial Tachycardia. Circulation Arrhythmia and Electrophysiology. 18(7). e013780–e013780. 1 indexed citations
2.
Dejonckere, Philippe H., et al.. (2011). Tridimensional assessment of adductor spasmodic dysphonia pre- and post-treatment with Botulinum toxin. European Archives of Oto-Rhino-Laryngology. 269(4). 1195–1203. 16 indexed citations
3.
Hese, Peter Van, et al.. (2008). Automatic Detection of Spike and Wave Discharges in the EEG of Genetic Absence Epilepsy Rats From Strasbourg. IEEE Transactions on Biomedical Engineering. 56(3). 706–717. 32 indexed citations
4.
Martens, J.-P., et al.. (2006). On The Use of Phonological Features for Pronunciation Scoring. 1. I–329. 21 indexed citations
5.
Moerman, Mieke, et al.. (2005). Perceptual evaluation of substitution voices: development and evaluation of the (I)INFVo rating scale. European Archives of Oto-Rhino-Laryngology. 263(2). 183–187. 35 indexed citations
6.
Moerman, Mieke, et al.. (2005). [Perceptive evaluation of substitution voices: the I(I) NFVo rating scale].. PubMed. 126(5). 323–5. 3 indexed citations
7.
Mulder, Tom De, J.-P. Martens, Micheline Lesaffre, et al.. (2004). Recent improvements of an auditory model based front-end for the transcription of vocal queries. 4. iv–257. 12 indexed citations
8.
Martens, J.-P., et al.. (2004). A feature-based filled pause detection system for Dutch. Ghent University Academic Bibliography (Ghent University). 309–314. 14 indexed citations
9.
Meyer, H. De, Bernard De Baets, Marc Leman, et al.. (2003). Distance-based versus Tree-based Key Recognition in Musical Audio. 3 indexed citations
10.
Martens, J.-P., et al.. (2002). Word Segmentation in the Spoken Dutch Corpus. Language Resources and Evaluation. 1432–1437. 8 indexed citations
11.
Martens, J.-P., et al.. (2002). An equalized error backpropagation algorithm for the on-line training of multilayer perceptrons. IEEE Transactions on Neural Networks. 13(3). 532–541. 15 indexed citations
12.
Martens, J.-P., et al.. (2002). Context modeling in hybrid segment-based/neural network recognition systems. 1. 501–504. 1 indexed citations
14.
Martens, J.-P., et al.. (2002). An auditory model based on the analysis of envelope patterns. International Conference on Acoustics, Speech, and Signal Processing. 401–404. 5 indexed citations
15.
Fackrell, Justin, et al.. (1999). Multilingual prosody modelling using cascades of regression trees and neural networks. 1835–1838. 2 indexed citations
16.
Fackrell, Justin, et al.. (1999). Multilingual prosody modelling using cascades of regression trees and neural networks. 1835–1838. 12 indexed citations
17.
Martens, J.-P., et al.. (1996). Automatic segmentation and labelling of multi-lingual speech data. Speech Communication. 19(4). 271–293. 30 indexed citations
18.
Martens, J.-P., et al.. (1994). On the initialization and optimization of multilayer perceptrons. IEEE Transactions on Neural Networks. 5(5). 738–751. 44 indexed citations
19.
Martens, J.-P., et al.. (1991). Broad phonetic classification and segmentation of continuous speech by means of neural networks and dynamic programming. Speech Communication. 10(1). 81–90. 9 indexed citations
20.
Martens, J.-P., et al.. (1989). Dutch text-to-speech aids for the vocally handicapped. 1590–1593. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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